Results 51 to 60 of about 404,854 (339)

Benchmark Tests for the Model-Checking-Based IDS Algorithms

IEEE Access, 2019
A fundamental concern for the security community is to identify the comprehensive comparable performance of various intrusion detection algorithms which are based on the Model Checking (MC) techniques. To address this open issue, we conduct the benchmark
Miaolei Deng, Heling Cao, Weijun Zhu, Huanmei Wu, Yangyue Zhou   +4 more
doaj   +1 more source

Illegal Intrusion Detection of Internet of Things Based on Deep Mining Algorithm

Tehnički Vjesnik, 2023
In this study, to reduce the influence of The Internet of Things (IoT) illegal intrusion on the transmission effect, and ensure IoT safe operation, an illegal intrusion detection method of the Internet of Things (IoT) based on deep mining algorithm was ...
Xingjuan Fan, Hui Li, Xinglong Liu, Fangtong Guo, Hongjing Ma   +4 more
doaj   +1 more source

Open Set Dandelion Network for IoT Intrusion Detection [PDF]

arXiv, 2023
As IoT devices become widely, it is crucial to protect them from malicious intrusions. However, the data scarcity of IoT limits the applicability of traditional intrusion detection methods, which are highly data-dependent. To address this, in this paper we propose the Open-Set Dandelion Network (OSDN) based on unsupervised heterogeneous domain ...
arxiv  

Identification of novel small molecule inhibitors of ETS transcription factors

FEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla, Zary Forghany, Jin Ma, Johan G. Hollander, Ruta Nachane, Karoly Szuhai, Pancras C. W. Hogendoorn, Peter ten Dijke, Dipen Shah, David A. Baker   +9 more
wiley   +1 more source

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

Molecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever, Renske D. M. Steenbergen   +1 more
wiley   +1 more source

High-speed railway perimeter intrusion detection approach based on Internet of Things

Advances in Mechanical Engineering, 2019
Efficient perimeter intrusion detection approach is vital to safety management of China high-speed railway. In this article, for high-speed railway perimeter intrusion detection problem, a perimeter intrusion detection framework based on Internet of ...
Zhengyu Xie, Yong Qin
doaj   +1 more source

Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies

Molecular Oncology, EarlyView.
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren, Philippe Decruyenaere, Francisco Avila Cobos, Johanna Bult, Jill Deleu, Laudonia Lidia Dipalo, Hetty Hilde Helsmoortel, Eva Hulstaert, Annelien Morlion, Elena Ramos Varas, Kathleen Schoofs, Wim Trypsteen, Eveline Vanden Eynde, Hanne Van Droogenbroeck, Kimberly Verniers, Jo Vandesompele, Anneleen Decock   +16 more
wiley   +1 more source

Intrusion Detection Based on Adaptive Sample Distribution Dual-Experience Replay Reinforcement Learning

Mathematics
In order to cope with ever-evolving and increasing cyber threats, intrusion detection systems have become a crucial component of cyber security. Compared with signature-based intrusion detection methods, anomaly-based methods typically employ machine ...
Haonan Tan, Le Wang, Dong Zhu, Jianyu Deng   +3 more
doaj   +1 more source

Identification of functional and diverse circulating cancer‐associated fibroblasts in metastatic castration‐naïve prostate cancer patients

Molecular Oncology, EarlyView.
Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink, Leon W. M. M. Terstappen, Eshwari Dathathri, Khrystany Isebia, Jaco Kraan, John Martens, Ruchi Bansal   +6 more
wiley   +1 more source

Intrusion detection systems

, 2010
Intrusion Detection Systems (IDSs) play an important role in the defense strategy of site security officers. An IDS can act as a second line of defense to provide security analysts with the necessary insights into the nature of hostile activities. Therefore, a good understanding of IDSs helps administrators make informed decisions when it comes to ...
Bazara I. A. Barry, H. Anthony Chan
openaire   +4 more sources